{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "ransom", "trigger": true, "arguments": ["payment method", "damage amount", "price", "attack pattern", "time", "attacker", "place"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["supported platform", "vulnerable system owner", "vulnerable system", "vulnerable system version", "time", "discoverer", "vulnerability", "capabilities"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["supported platform", "vulnerability", "patch", "issues addressed", "releaser", "vulnerable system", "vulnerable system version"]}, {"event_type": "phishing", "trigger": true, "arguments": ["attacker", "place", "tool", "victim", "time", "trusted entity", "purpose", "damage amount", "attack pattern"]}], "input": "This well - known malware , known as Emotet , generally poses as specific banks or financial institutions to trick individuals into opening infected documents ."}
{"ransom": [], "discover vulnerability": [], "patch vulnerability": [], "phishing": [{"trigger": "poses as", "arguments": {"attacker": "NAN", "place": "NAN", "tool": ["Emotet", "malware"], "victim": "NAN", "time": "NAN", "trusted entity": ["specific banks", "financial institutions"], "purpose": "NAN", "damage amount": "NAN", "attack pattern": "NAN"}}]}